It just takes a few seconds to connect your Dataverse environment to Git. You can connect and use Git integration within Power Apps, Microsoft Copilot Studio, Power Automate, and Power Pages. You’ll also need access to an Azure DevOps Git repository.

Rollout is in-progress. Git integration is currently available in public geos outside the US. Your environment must be enabled for early access and accessed at https://make.preview.powerapps.com.

As the team develops, Dataverse tracks everyone’s changes. When ready, commit your changes to a branch in the connected Azure DevOps Git repository. A commit link is provided to view the changes within the repository and compare diffs. You’ll notice solutions and solution objects are now stored in human readable formats in the repo.

Professional developers can work in source control while others work in one or more environments. It’s easy to pull others’ changes into other development environments which are connected to the same source code location. This allows team members to build without others editing in their environment and share changes once they’re ready. Connect multiple development environments using the same repo, branch, and folder. Then, in each environment create or import an unmanaged solution with the same name and publisher.

When committing and pulling changes, conflicts may be detected – meaning someone else made conflicting changes to the same object. You’ll need to choose whether to keep the version that’s in your environment or bring the version from source control into your environment. You can also revert changes in the repository, then pull the prior version into your environment.

When the team is ready to deploy to test or production, you can use Pipelines in Power Platform for the release. Building and deploying using developer tools isn’t available yet for this new format.

We hope you enjoy the preview. There are many current limitations and you shouldn’t use this feature in environments or Git folders where you’re developing production solutions. Please leave your feedback below, in the community forums, on social media, or another outlet of choice. We look forward to hearing what you’d like to see prioritized next.

Learn more

Overview of Power Platform Git integration

Setup Git integration

The post Introducing Git Integration in Power Platform (preview) appeared first on Microsoft Power Platform Blog.

Formula columns are based on Power Fx. Power Fx provides a much richer set of functions than were previously available with calculated columns, especially for text processing and also provides a lowcode way to perform app extensibility.

As you can see in the following Image from Dataverse below , you can use the Power Fx formula bar to create a formula column that computes few arithmetic operations using the supported functions. The formula dynamically returns based on the data type of the resulting expression.

The formula editor supports IntelliSense to suggest formulas and errors in real time.

This feature supports text, decimal, choice, boolean, lookup and limited date/time functionality, targeted primarily for core calculations while we are working towards building the complete parity with existing Calc columns. On read, all calculations are on done on the fly as added projections of the SQL Select query. Results are real time. We are also working on other modes of operation, where values can be calculated and stored on write. This would enable support for rollups of one-to-many and many-to-many relationships, something we are working as part of our future roadmap.

Will this functionality replace existing calculated columns and rollups? Not at present and there will be no rush, those existing technologies are tried and true. Only when we have more feedback and experience, and we’ve worked through any functionality gaps, we will draw up and communicate a long-term migration plan. Eventually we want formula columns should be able to do everything that can be done today, and much more, in an easier to use and Power Platform consistent manner.

Take it for a spin and please let us know what you think! Please leave feedback in the Microsoft Dataverse – Power Platform Community forum. For more details, please refer to our documentation.

The post Boost maker productivity inside Dataverse using formula columns! appeared first on Microsoft Power Platform Blog.